Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Cheng, Hanmiao"'
Autor:
Huang, Qifeng, Cheng, Hanmiao, Zhuang, Zhong, Duan, Meimei, Fang, Kaijie, Huang, Yixuan, Wang, Liyu
Publikováno v:
Inventions (2411-5134); Dec2024, Vol. 9 Issue 6, p117, 15p
Akademický článek
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Akademický článek
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Publikováno v:
2021 IEEE 4th International Conference on Electronics Technology (ICET).
In this paper, the demonstration application project of non-intrusive load monitoring (NILM) technology is introduced, including the NILM-based smart meter, low voltage residential power information acquisition system of Jiangsu Province, data acquis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56dc85d2ac1f7d3fb3a3987363ba196b
https://doi.org/10.1109/icet51757.2021.9450993
https://doi.org/10.1109/icet51757.2021.9450993
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030805302
Basing on the hardware of smart electric power meter and aiming at the requirements of non-intrusive load identification application, the method of off-line learning and on-line classification based on support vector machine is studied. Two-sided cum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f03d6d1b3855e708c05ddd20cd6ff20a
https://doi.org/10.1007/978-3-030-80531-9_7
https://doi.org/10.1007/978-3-030-80531-9_7
Publikováno v:
2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2).
When an electricity meter is calibrated under the condition of non-reference temperature, it is generally necessary to correct the verification result according to the actual temperature of the verification environment, and then judge whether the ele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27a91ebc308d853a5633c5ece9c400f6
https://doi.org/10.1109/ei250167.2020.9347240
https://doi.org/10.1109/ei250167.2020.9347240
Publikováno v:
2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2).
Non-intrusive load monitoring (NILM) is an intelligent perception technology of electricity consumption information on the consumer side. Event detection, the fundamental and indispensable step of the NILM framework, has a direct impact on the accura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fe72568eff4a82ad920202dde9d3ef2
https://doi.org/10.1109/ei250167.2020.9346980
https://doi.org/10.1109/ei250167.2020.9346980
Publikováno v:
2020 5th Asia Conference on Power and Electrical Engineering (ACPEE).
The performance of the standard meter is very important for the automatic verification lines. In order to study the influence of the reference conditions of the automatic verification lines on the standard meter, the analysis method combining the phy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a4b588393d2f03f8cbf5666d1e6370d
https://doi.org/10.1109/acpee48638.2020.9136348
https://doi.org/10.1109/acpee48638.2020.9136348
Publikováno v:
2020 IEEE 3rd International Conference on Electronics Technology (ICET).
Focusing on the current impulse waveforms generated when the fixed or variable frequency air conditioners, vacuum cleaner, microwave oven and other electrical appliances are turned on, the characteristic parameters such as impulse amplitude, rising t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fd9e0423c4092cc93e3a53724d8684b
https://doi.org/10.1109/icet49382.2020.9119583
https://doi.org/10.1109/icet49382.2020.9119583
Autor:
Cheng Hanmiao, Yang Shihai, Fang Kaijie, Chen Mingming, Huang Qifeng, Huang Yixuan, Liu Tianchang
Publikováno v:
Journal of Physics: Conference Series. 2065:012011
Event detection is an important foundation of non-intrusive load monitoring algorithm. In this paper, the common household appliance load events are classified, and a new triple-threshold event detection algorithm is proposed aimed at solving the pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e8e9dfd76a3e0837f8e1edea85d7602
https://doi.org/10.1088/1742-6596/2065/1/012011
https://doi.org/10.1088/1742-6596/2065/1/012011